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Making Sense of Factor Analysis The Use of Factor Analysis for Instrument Development in Health Care Research

ISBN-10: 0761919503
ISBN-13: 9780761919506
Edition: 2003
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Description: Many health care practitioners and researchers are aware of the need to employ factor analysis in order to develop more sensitive instruments for data collection. Unfortunately, factor analysis is not a unidimensional approach that is easily  More...

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Book details

Copyright year: 2003
Publisher: SAGE Publications, Incorporated
Publication date: 3/21/2003
Binding: Paperback
Pages: 368
Size: 6.00" wide x 9.00" long x 0.75" tall
Weight: 1.144
Language: English

Many health care practitioners and researchers are aware of the need to employ factor analysis in order to develop more sensitive instruments for data collection. Unfortunately, factor analysis is not a unidimensional approach that is easily understood by even the most experienced of researchers.Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research presents a straightforward explanation of the complex statistical procedures involved in factor analysis. Authors Marjorie A Pett, Nancy M Lackey, and John J Sullivan provide a step-by-step approach to analyzing data using statistical computer packages like SPSS and SAS. Emphasizing the interrelationship between factor analysis and test construction, the authors examine numerous practical and theoretical decisions that must be made to efficiently run and accurately interpret the outcomes of these sophisticated computer programs.Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research offers a practical method for developing tests, validating instruments and reporting outcomes through the use of factor analysis. To facilitate learning, the authors provide concrete testing examples, three appendices of additional information, and a glossary of key terms. Ideal for graduate level nursing students, this book is also an invaluable resource for health care researchers.

Dr. Marge Pett is a Research Professor in the College of Nursing, having been on the faculty since 1980. She is the author of numerous articles and presentations related both to her previously federally funded research on family interaction in married and divorced families, her current interests in developing effective healthy lifestyle interventions for persons with intellectual disabilities and their families, development of patient-ofocused pain care measures, as well as her interests in statistics. Her two textbooks, Nonparametric Statistics for Health Care Research and Making Sense of Factor Analysis, have received much praise from the health care community. Marge has a strong commitment to facilitationg the practical application of statistics in the social, behavioral, and biological sciences, especially among practitioners in health care settings. She has taught various statistics courses to doctoral students from a variety of disciplines, both at the beginning and advanced levels. Marge has been married for more than 40 years to the same person, has two adult children and 2-3/4 grandchildren. When she is not teaching or doing research, Marge can be found on the tennis courts, various and sundry golf courses, studying Italian or wandering the streets of the wonderful cities of Italia.

An Overview of Factor Analysis
Characteristics of Factor Analysis
Exploratory Vs. Confirmatory Factor Analysis
Assumptions of Exploratory Factor Analysis
Historical Developments of Factor Analysis
Uses of Factor Analysis in Health Care Research
Decision-Making Process in Exploratory Factor Analysis
Designing and Testing the Instrument
Types of Measurement and Frameworks
The Use of Latent Variables in Instrument Development
Identifying Empirical Indicators of Latent Variables
Using Qualitative Research Methods to Identify Empirical Indicators
Additional Qualitative Approaches to Identifying Empirical Indicators
Development of the Instrument
Scoring the Instrument
Pilot Testing the Instrument
Determining the Number of Subjects
Assessing the Characteristics of Matrices
Characteristics and Types of Matrices
Tests of Matrices
Review of the Process
Extracting the Initial Factors
Evaluating the Correlation Matrix
Sources of Variance in Factor Analysis Models
Determining the Factor Extraction Method
Selecting the Number of Factors to Retain
Comparing the Two-Factor Solution Using PCA and PAF
Rotating the Factors
Achieving a Simple Structure
Types of Rotations
Mapping Factors in Geometric Space
Orthogonal Rotations
Oblique Rotations
Comparing the Orthogonal and Oblique Solutions
Advantages and Disadvantages of the Oblique Solution
Choosing Between Orthogonal and Oblique Rotations
Summary of the Process of Rotations
Evaluating and Refining the Factors
Evaluating and Refining the Factors
Assessing the Reliability of an Instrument
Evaluating the Internal Consistency of an Instrument
Estimating the Effects on Reliability of Increasing or Decreasing Items
Cronbach's Coefficient Alpha
Assessing Reliability Using Cronbach's Alpha: A Computer Example
Two Additional Reliability Estimates: Temporal Stability and Equivalence
Interpreting Factors and Generating Factor Scores
Interpreting the Factors
Naming the Factors
Interpreting and Naming the Four Factors on the CGTS Scale
Determining Composite Factor Scores
Reporting and Replicating the Results
When to Report the Results
What to Include in the Report
An Exemplar of a Published Report
Replicating the Factors in Other Studies
Conclusions
Concerns About Genetic Testing Scale
SAS Commands and Generate Output
Output for 20-item CGTS Scale
Tables for the Chi-Square and Normal Distributions
Unraveling the Mystery of Principal Component Extraction
References
Index
About the Authors

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